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All Outputs (2)

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Conference Proceeding
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., …Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15630-15640). https://doi.org/10.1109/cvpr52729.2023.01500

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.

High micro-vessel density correlates with higher peri-tumoural immune response in colorectal cancer (2020)
Conference Proceeding
Raghuram, G., Fadhil, W., Sculthorpe, D., Ilyas, M., & Mukherjee, A. (2020). High micro-vessel density correlates with higher peri-tumoural immune response in colorectal cancer

Background & objectives Microvessels, a significant component of the tumour microenvironment in colorectal cancer (CRC), have traditionally been assessed in full-face sections. This study aimed to assess the microvessel density (MVD) in CRC tissue m... Read More about High micro-vessel density correlates with higher peri-tumoural immune response in colorectal cancer.